LLM Observability & Monitoring
AI Application Observability
The AI Application Observability subcategory, within LLM Observability & Monitoring, brings together 6 operational capabilities from Evox: LLM Tracing, Prompt Tracing, Agent Tracing, Tool-Call Monitoring, Production Monitoring, and AI Incident Monitoring.
























Services of AI Application Observability
- 01
LLM Tracing
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
→ - 02
Prompt Tracing
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
→ - 03
Agent Tracing
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
→ - 04
Tool-Call Monitoring
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
→ - 05
Production Monitoring
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
→ - 06
AI Incident Monitoring
When a complex AI application fails (a multi-step autonomous agent, a RAG pipeline utilizing five tools, or a chained reasoning flow)…
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